CN108063933A - Image processing method and device, computer readable storage medium and computer equipment - Google Patents
Image processing method and device, computer readable storage medium and computer equipment Download PDFInfo
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- CN108063933A CN108063933A CN201711420266.1A CN201711420266A CN108063933A CN 108063933 A CN108063933 A CN 108063933A CN 201711420266 A CN201711420266 A CN 201711420266A CN 108063933 A CN108063933 A CN 108063933A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
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- Processing Of Color Television Signals (AREA)
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Abstract
A kind of image processing method of disclosure, for computer equipment.Image processing method includes：The first image of camera acquisition is handled to judge that the corresponding scene of the first image whether there is light source；If it is not, camera acquisition and at least partly nonoverlapping second image of the first image are controlled after control actuator moving lens and/or imaging sensor；The second image is handled to judge that the corresponding scene of the second image whether there is light source；With in the corresponding scene of the second image, there are carry out white balance processing to the first image according to the colour temperature of light source during light source.A kind of image processing apparatus, computer readable storage medium and computer equipment is also disclosed in the application.There is no during light source in the corresponding scene of the first image for image processing method and device, the computer readable storage medium and computer equipment of the application, white balance processing is carried out to the first image according to the second image so that the color of white balance treated the first image is truer.
Description
Technical field
This application involves technical field of image processing, more particularly to a kind of image processing method, image processing apparatus, calculating
Machine readable storage medium storing program for executing and computer equipment.
Background technology
The white balancing techniques of correlation technique can by detect light source colour temperature and according to colour temperature carry out white balance, however,
When the white balancing techniques of this mode are applied to the scene of no point light source, image can not be often carried out at white balance exactly
Reason.
The content of the invention
Embodiments herein provides a kind of image processing method, image processing apparatus, computer readable storage medium
And computer equipment.
The image processing method of the application embodiment, for computer equipment, the computer equipment includes camera,
The camera includes camera lens, imaging sensor and actuator, and described image processing method comprises the following steps：
The first image of the camera acquisition is handled to judge that the corresponding scene of described first image whether there is light source；
When the light source is not present in the corresponding scene of described first image, the actuator is controlled to move the camera lens
And/or the camera acquisition and at least partly nonoverlapping second figure of described first image are controlled after described image sensor
Picture；With
Second image is handled to judge that the corresponding scene of second image whether there is the light source；With
In the corresponding scene of second image there are the colour temperature that the light source is detected during the light source and according to the color
Temperature carries out white balance processing to described first image.
The image processing apparatus of the application embodiment, for computer equipment, the computer equipment includes camera,
The camera includes camera lens, imaging sensor and actuator, and described image processing unit includes：
First processing module, the first processing module are used to handle the first image of the camera acquisition to judge
The corresponding scene of the first image is stated with the presence or absence of light source；
Control module, the control module are used to control when the light source is not present in the corresponding scene of described first image
The actuator controls the camera acquisition and described first image extremely after moving the camera lens and/or described image sensor
Nonoverlapping second image of small part；
Second processing module, the Second processing module are used to handle second image to judge second image pair
The scene answered whether there is the light source；With
3rd processing module, the 3rd processing module is in the corresponding scene of second image, there are the light sources
When detect the light source colour temperature and according to the colour temperature to described first image carry out white balance processing.
Non-volatile computer of the one or more of the application embodiment comprising computer executable instructions is readable to be deposited
Storage media, when the computer executable instructions are executed by one or more processors so that described in the processor performs
Image processing method.
The computer equipment of the application embodiment includes memory and processor, and computer is stored in the memory
Readable instruction, when described instruction is performed by the processor so that the processor performs described image processing method.
The image processing method and device of the application embodiment, computer readable storage medium and computer equipment are
When light source is not present in the corresponding scene of one image, control camera is adopted after controlling actuator moving lens and/or imaging sensor
Collection and at least partly nonoverlapping second image of the first image, in the corresponding scene of the second image there are during light source, can detect
The colour temperature of light source simultaneously carries out white balance processing according to the colour temperature of light source to the first image so that white balance treated the first image
Color it is truer.
The additional aspect and advantage of the application will be set forth in part in the description, and will partly become from the following description
It obtains substantially or is recognized by the practice of the application.
Description of the drawings
It in order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of the image processing method of the application certain embodiments.
Fig. 2 is the floor map of the computer equipment of the application certain embodiments.
Fig. 3 is the structure diagram of the camera of the application certain embodiments.
Fig. 4 is the module diagram of the image processing apparatus of the application certain embodiments.
Fig. 5 is the schematic diagram of a scenario of the camera work of the application certain embodiments.
Fig. 6 is the flow diagram of the image processing method of the application certain embodiments.
Fig. 7 is the module diagram of the image processing apparatus of the application certain embodiments.
Fig. 8 is the flow diagram of the image processing method of the application certain embodiments.
Fig. 9 is the module diagram of the image processing apparatus of the application certain embodiments.
Figure 10 is the schematic diagram of a scenario of the white balance processing of the application certain embodiments.
Figure 11 is the flow diagram of the image processing method of the application certain embodiments.
Figure 12 is the module diagram of the image processing apparatus of the application certain embodiments.
Figure 13 is the flow diagram of the image processing method of the application certain embodiments.
Figure 14 is the schematic diagram of a scenario of the white balance processing of the application certain embodiments.
Figure 15 is the module diagram of the fourth processing module of the application certain embodiments.
Figure 16 is the colour temperature curve synoptic diagram of the application certain embodiments.
Figure 17 is the flow diagram of the image processing method of the application certain embodiments.
Figure 18 is the module diagram of the image processing apparatus of the application certain embodiments.
Figure 19 is the flow diagram of the image processing method of the application certain embodiments.
Figure 20 is the module diagram of the image processing apparatus of the application certain embodiments.
Figure 21 is the flow diagram of the image processing method of the application certain embodiments.
Figure 22 is the module diagram of the 3rd processing module of the application certain embodiments.
Figure 23 is the flow diagram of the image processing method of the application certain embodiments.
Figure 24 is the module diagram of the image processing apparatus of the application certain embodiments.
Figure 25 is the module diagram of the computer equipment of the application certain embodiments.
Figure 26 is the module diagram of the image processing circuit of the application certain embodiments.
Main element symbol description：
Computer equipment 1000, camera 100, camera lens 20, lens 30, imaging sensor 40, actuator 60, image procossing
Device 300, first processing module 312, the first division unit 3122, the first judging unit 3124, the first determination unit 3126,
Two determination units 3128, control module 314, Second processing module 316, the second division unit 3162, second judgment unit 3164,
5th determination unit 3166, the 6th determination unit 3168, the 3rd processing module 318, the 7th determination unit 3182, second processing list
First 3184, the 8th determination unit 3186, the first judgment module 322, the first concatenation module 324, the first determining module the 326, the 4th
Processing module 328, the 3rd determination unit 3282, first processing units 3284, the 4th determination unit 3286, the second judgment module
332nd, the second concatenation module 334, the second determining module 336, computing module 338, the 3rd determining module 342, the 5th processing module
344th, system bus 510, processor 520, memory 530, built-in storage 540, display screen 550, input unit 560, at image
Manage circuit 800, ISP processors 810, control logic device 820, sensor 840, video memory 850, encoder/decoder
860th, display 870.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the object, technical solution and advantage for making the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, and
It is not used in restriction the application.
It is appreciated that term " first " used in this application, " second " etc. can be used to describe various elements herein,
But these elements should not be limited by these terms.These terms are only used to distinguish first element and another element.Citing comes
It says, in the case where not departing from scope of the present application, the first image can be known as the second image, and similarly, it can be by second
Image is known as the first image.First image and the second image both images, but be not same image.
- 3 are please referred to Fig.1, the image processing method of the application embodiment can be used for computer equipment 1000.Computer
Equipment 1000 includes camera 100, and camera 100 includes camera lens 20, imaging sensor 40 and actuator 60.Image processing method
Comprise the following steps：
S312：The first image of the acquisition of camera 100 is handled to judge that the corresponding scene of the first image whether there is light source；
S314：When light source is not present in the corresponding scene of the first image, 60 moving lens 20 of actuator and/or image are controlled
The acquisition of camera 100 and at least partly nonoverlapping second image of the first image are controlled after sensor 40；
S316：The second image is handled to judge that the corresponding scene of the second image whether there is light source；With
S318：In the corresponding scene of the second image, there are the colour temperature of light source is detected during light source and according to colour temperature to the first image
Carry out white balance processing.
Fig. 2-4 are referred to, the image processing apparatus 300 of the application embodiment can be used for computer equipment 1000.Meter
Calculating machine equipment 1000 includes camera 100, and camera 100 includes camera lens 20, imaging sensor 40 and actuator 60.Image procossing
Device 300 includes first processing module 312, control module 314,316 and the 3rd processing module 318 of Second processing module.First
Processing module 312 is used to handle the first image of the acquisition of camera 100 to judge that the corresponding scene of the first image whether there is light
Source.Control module 314 be used for the corresponding scene of the first image be not present light source when control 60 moving lens 20 of actuator and/or
After imaging sensor 40 camera 100 is controlled to gather the second image.Second processing module 316 is used to handle the second image to judge
The corresponding scene of second image whether there is light source.3rd processing module 318 is in the corresponding scene of the second image, there are light
The colour temperature of light source is detected during source and white balance processing is carried out to the first image according to colour temperature.
The image processing method of the application embodiment can be real by the image processing apparatus 300 of the application embodiment
It is existing, wherein, step S312 can be realized by first processing module 312, and step S314 can be realized by control module 314, step
S316 can be realized that step S318 can be realized by the 3rd processing module 318 by Second processing module 316.
Referring to Fig. 2, the image processing apparatus 300 of the application embodiment can be applied to the meter of the application embodiment
It calculates in machine equipment 1000, in other words, the computer equipment 1000 of the application embodiment can include the application embodiment
Image processing apparatus 300.
Image processing method, image processing apparatus 300 and the computer equipment 1000 of the application embodiment are in the first figure
When light source is not present as corresponding scene, camera is controlled after controlling 60 moving lens 20 of actuator and/or imaging sensor 40
100 acquisitions and the first image at least partly nonoverlapping second image, can be in the corresponding scene of the second image there are during light source
The colour temperature for detecting light source simultaneously carries out white balance processing according to the colour temperature of light source to the first image so that treated first for white balance
The color of image is truer.
It should be noted that the first image and the second image be not at least partly be overlapped, it can be understood as, the first image and the
Two images be not overlapped completely or the first image and the second image section it is not be overlapped.
In some embodiments, actuator 60 includes microcomputer electric notor or mechanical motor.Microcomputer electric notor or mechanical horse
It is moved up to camera lens 20 and/or imaging sensor 40 during work, can be controlled.
In some embodiments, OIS (Optical Image Stabilization, optical anti-vibration) technology control is utilized
Camera lens 20 and/or imaging sensor 40 processed move.
It should be noted that actuator 60 controls camera lens 20 and/or imaging sensor 40 to move, it can be understood as, actuating
Camera lens 20 is controlled to move for device 60 or the control imaging sensor 40 of actuator 60 moves or actuator 60 controls camera lens 20 and image
Sensor 40 moves.Actuator 60 controls camera lens 20 and/or imaging sensor 40 to move, thus it is possible to vary the visual field of camera 100.
In some embodiments, actuator 60 is used to that camera lens 20 to be controlled to move.Specifically, actuator 60 can be with camera lens
20 connections, so as to when actuator 60 works camera lens 20 be controlled to move.It should be noted that in order to avoid or reduce camera
The deviation of 100 optical axis when general control camera lens 20 moves, does not control camera lens 20 to be rotated, but camera lens 20 is controlled to carry out
Translation.It should be noted that in some embodiments, camera lens 20 includes lens set, control camera lens 20 moves, it is possible to understand that
For one or more of control lens set eyeglass is moved.In addition, in some embodiments, camera lens 20 can also wrap
Prism is included, control camera lens 20 moves, it can be understood as, control prism is moved.
In some embodiments, actuator 60 is used to that imaging sensor 40 to be controlled to move.Specifically, actuator 60 can be with
It is connected with imaging sensor 40, so as to be moved in the work imaged sensor 40 of time control of actuator 60.It should be noted that in order to
Avoid or reduce camera 100 optical axis deviation, general control imaging sensor 40 move when, do not control imaging sensor 40
It is rotated, but imaging sensor 40 is controlled to be translated.
In some embodiments, actuator 60 is used to that camera lens 20 and imaging sensor 40 to be controlled to be moved.Specifically,
Actuator 60 can be attached with camera lens 20 and imaging sensor 40, so as to control 20 He of camera lens when actuator 60 works
Imaging sensor 40 is moved.
In some embodiments, the position of light source, camera 100 visual field etc. due to, exist in real scene
During light source, the first image None- identified that processing camera 100 gathers handles the first image and judges the first image pair to light source
When the scene answered whether there is light source, the judging result that light source is not present in the corresponding scene of the first image is obtained, but due to taking the photograph
The second image and the first image gathered as first 100 be not at least partly be overlapped, therefore the second image that camera 100 gathers may
Light source can be recognized, that is, handle the second image judge the corresponding scene of the second image whether there is light source when, obtain the second figure
As corresponding scene is there are the judging result of light source, since the color of the first image and the color of the second image are all subject to same light
Therefore the influence in source, can carry out white balance processing using the colour temperature for the light source that the second image detection arrives to the first image so that
The color of first image is truer.
Referring to Fig. 5, in one embodiment, imaging sensor 40 is fixedly installed, 60 moving lens 20 of actuator is controlled
During to first position, camera 100 gathers the first image, and camera 100 can only collect the sub-fraction of light source at this time, it is difficult to
When light source is recognized in the first image, therefore can control 60 moving lens 20 to the second position of actuator, camera 100 is adopted
Collect the second image, camera 100 can collect complete light source at this time, and light source is easily recognized in the first image, therefore can
To carry out white balance processing to the first image using the light source that the second image recognizes.The corresponding camera 100 of second image with
The visual field of the corresponding camera 100 of first image is not overlapped at least partly, therefore the first image and the second image are also at least partly
It is not overlapped.
It should be noted that judge that the corresponding scene of the first image whether there is light source, it can be understood as, judge camera
Whether light source is able to detect that in first image of 100 acquisitions.The corresponding scene of the second image is judged with the presence or absence of light source, it can be with
It is interpreted as whether being able to detect that light source in the second image of the acquisition of camera 100.When detecting light source in the first image, really
There are light sources for the corresponding scene of fixed first image；When not detecting light source in the first image, the corresponding field of the first image is determined
Light source is not present in scape.When detecting light source in the second image, determine that there are light sources for the corresponding scene of the second image；In the second figure
When not detecting light source as in, determine that light source is not present in the corresponding scene of the second image.
In some embodiments, the correspondence of colour temperature and white balance parameter, root are prestored in computer equipment 1000
It can be searched in the correspondence of colour temperature and white balance parameter according to colour temperature and obtain corresponding white balance parameter, so as to basis
White balance parameter carries out white balance processing to image.
Referring to Fig. 6, in some embodiments, step S312 comprises the following steps：
S3122：First image is divided into multiple regions；
S3124：Judge whether region is the target area that includes light source according to the histogram in each region；
S3126：There are the corresponding scene of the first image during at least one target area, is determined, there are light sources；With
S3128：There is no during target area, determine the corresponding scene of the first image be not present light source.
Referring to Fig. 7, in some embodiments, first processing module 312 is sentenced including the first division unit 3122, first
Disconnected unit 3124, the first determination unit 3126 and the second determination unit 3128.First division unit 3122 is used for the first image
It is divided into multiple regions.First judging unit 3124 is used to judge whether region is to include light source according to the histogram in each region
Target area.First determination unit 3126 is used for there are during at least one target area, determine the corresponding scene of the first image
There are light sources.Second determination unit 3128 is used for there is no during target area, determine that the corresponding scene of the first image is not present
Light source.
In other words, step S3122 can be realized by the first division unit 3122, and step S3124 can be judged by first
Unit 3124 realizes that step S3126 can be realized that step S3128 can be by the second determination unit by the first determination unit 3126
3128 realize.
In this way, it can judge that the corresponding scene of the first image whether there is by the histogram in each region of the first image
Light source.
Specifically, the first image can be divided into multiple regions, such as the first image is divided into 64*48 region.According to
The histogram in each region may determine that whether the accounting of pixel of the pixel value more than presetted pixel value P in each region is more than pre-
If ratio, presetted pixel value P is, for example, 239, and preset ratio is, for example, 5%, that is, judges that pixel value is more than 239 in each region
Whether more than 5%, the accounting of pixel of the pixel value more than presetted pixel value P is more than the corresponding region of preset ratio to the accounting of pixel
It is the target area for including light source.Judge that there are target areas in the first image with the presence or absence of target area in the first image
When, illustrate that there are light sources for the corresponding scene of the first image；When target area being not present in the first image, illustrate the first image pair
Light source is not present in the scene answered.
Referring to Fig. 8, in some embodiments, comprise the following steps after step S312：
S322：In the corresponding scene of the first image, there are during light source, judge whether adjacent multiple target areas；
S324：There are adjacent multiple target areas are spliced into light source during adjacent multiple target areas；With
S326：There is no target area is determined as light source during adjacent multiple target areas.
Referring to Fig. 9, in some embodiments, image processing apparatus 300 is spelled including the first judgment module 322, first
324 and first determining module 326 of connection module.First judgment module 322 is used in the corresponding scene of the first image there are during light source,
Judge whether adjacent multiple target areas.First concatenation module 324 is used for there are during adjacent multiple target areas
Adjacent multiple target areas are spliced into light source.First determining module 326 is used for there is no adjacent multiple target areas
When target area is determined as light source.
In other words, step S322 can be realized that step S324 can be by the first concatenation module by the first judgment module 322
324 realize, step S326 can be realized by the first determining module 326.
So, it may be determined that the light source position in the first image.
There are during target area, judging whether adjacent multiple target areas in the first image, there are adjacent
Multiple target areas when, adjacent multiple target areas belong to same light source in real scene, therefore can will be adjacent
Multiple target areas are spliced into light source；There is no during adjacent multiple target areas, target area is regarded as light source.Cause
This, the light source position in the first image can be determined by target area.
Referring to Fig. 10, in one example, scene may determine that region there are light source according to the histogram in each region
A, region B, region C and region D are the target areas for including light source, such as from the histogram of region A, it can be determined that go out region
The accounting of pixel of the pixel value more than presetted pixel value P has been more than preset ratio in A, due to region A, region B, region C and area
Domain D is adjacent multiple target areas, therefore region A, region B, region C and region D can be stitched together, so as to obtain compared with
For complete light source.
1 is please referred to Fig.1, in some embodiments, is comprised the following steps after step S312：
S328：In the corresponding scene of the first image there are the colour temperature for during light source, detecting light source and according to colour temperature to the first figure
As carrying out white balance processing.
2 are please referred to Fig.1, in some embodiments, image processing apparatus 300 includes fourth processing module 328.Everywhere
Module 328 is managed to be used in the corresponding scene of the first image there are the colour temperature for during light source, detecting light source and according to colour temperature to the first figure
As carrying out white balance processing.
In other words, step S328 can be realized by fourth processing module 328.
In this way, the first image can be carried out according to the colour temperature of light source in the corresponding scene of the first image there are during light source
White balance processing, so that the color of white balance treated the first image is truer.
3 and Figure 14 are please referred to Fig.1, in some embodiments, step S328 comprises the following steps：
S3282：Highlight regions H and middle bright area M are determined according to the Luminance Distribution of the center of light source radially；
S3284：The primary color channels pixel that the primary color channels pixel average of highlight regions H is subtracted to middle bright area M is averaged
Value is with definite light source colour；With
S3286：Colour temperature is determined according to light source colour.
4 and Figure 15 are please referred to Fig.1, in some embodiments, fourth processing module 328 includes the 3rd determination unit
3282nd, 3284 and the 4th determination unit 3286 of first processing units.3rd determination unit 3282 is used for the center edge according to light source
Radially outer Luminance Distribution determines highlight regions H and middle bright area M.First processing units 3284 are used for highlight regions H's
Primary color channels pixel average subtracts the primary color channels pixel average of middle bright area M to determine light source colour.4th determines list
Member 3286 is used to determine colour temperature according to light source colour.
In other words, step S3282 can be realized by the 3rd determination unit 3282, and step S3284 can be by the first processing
Unit 3284 realizes that step S3286 can be realized by the 4th determination unit 3286.
In this way, can light source colour be determined by the highlight regions H and middle bright area M of the first image.
Referring to Figure 14, after the light source position in the first image determines, it will be understood that the light source in the first image
Central area O for overexposure region, generally Great White Spot, the information not comprising light source colour.Light source colour can be by highlighted
The primary color channels pixel average of region H and middle bright area M determine.Highlight regions H can refer to the center of light source radially to
Outer brightness value is in the region that the pixel of the first brightness range L1 is formed, the first brightness range L1 be, for example, [200,239).
Middle bright area M can refer to that the brightness value of the center of light source radially is in what the pixel of the second brightness range L2 was formed
Region, the second brightness range L2 be, for example, [150,200).It should be noted that the first brightness range L1 and the second brightness range
The specific value of L2 can be determined according to the Luminance Distribution of the center O of light source radially, such as the brightness decay of light source obtains
Than very fast, the first brightness range L1 and the second brightness range L2 can be increased；Such as the brightness decay of light source obtain it is slow, can be with
Reduce the first brightness range L1 and the second brightness range L2.
In some embodiments, primary color channels refer to Color Channel, such as (green red) logical including R (red) passage, Gr
It is at least one in road, Gb (turquoise) passage, B (blueness) passage, in some embodiments, the pixel of Gr passages can be passed through
The pixel value of value and Gb passages obtains the pixel value of G (green) passage.Pixel average can refer to the arithmetic of multiple pixel values
Average value, multiple pixel values can be all pixels of highlight regions pixel value or middle bright area all pixels pixel
Value.In one example, each primary color channels pixel average (R of highlight regionsavg, Gavg, Bavg) it is (200,210,220),
Each primary color channels pixel average (R of middle bright areaavg, Gavg, Bavg) be (160,180,190), then light source colour passage
(R, G, B) is (200-160,210-180,220-190), i.e., (40,30,30).
In some embodiments, colour temperature is determined according to light source colour, be specifically as follows：According to light source colour, light source face
Color and the correspondence of colour temperature determine the colour temperature of light source.Wherein, light source colour and the correspondence of colour temperature can be mapping table and/
Or colour temperature curve.
6 are please referred to Fig.1, can be respectively 3000K, 4000K, 5000K, 6000K in setting colour temperature in one embodiment
It waits under light boxs, obtain uncalibrated image and the corresponding light source face of the uncalibrated image under above-mentioned different-colour is obtained by calculation
The colour temperature curve it is possible thereby to form light source colour and the colour temperature curve of colour temperature, and can be stored in computer equipment by color
In 1000.Corresponding colour temperature can be obtained by being searched by light source colour in colour temperature curve.
7 are please referred to Fig.1, in some embodiments, step S316 comprises the following steps：
S3162：Second image is divided into multiple regions；
S3164：Judge whether region is the target area that includes light source according to the histogram in each region；
S3166：There are the corresponding scene of the second image during at least one target area, is determined, there are light sources；With
S3168：There is no during target area, determine the corresponding scene of the second image be not present light source.
8 are please referred to Fig.1, in some embodiments, Second processing module 316 includes the second division unit 3162, second
Judging unit 3164, the 5th determination unit 3166 and the 6th determination unit 3168.Second division unit 3162 is used for the second figure
As being divided into multiple regions.Second judgment unit 3164 is used to judge whether region is to include light source according to the histogram in each region
Target area.5th determination unit 3166 is used for there are during at least one target area, determine the corresponding field of the second image
There are light sources for scape.6th determination unit 3168 is used for there is no during target area, determine that the corresponding scene of the second image do not deposit
In light source.
In other words, step S3162 can be realized by the second division unit 3162, and step S3164 can be judged by second
Unit 3164 realizes that step S3166 can be realized by the 5th determination unit 3166, and step S3168 can be by the 6th determination unit
3168 realize.
In this way, it can judge that the corresponding scene of the second image whether there is by the histogram in each region of the second image
Light source.
Judge that the corresponding scene of the second image whether there is the side of light source by the histogram in each region of the second image
Method and the histogram in each region above by the first image judge that the corresponding scene of the first image whether there is the side of light source
Method is similar, and this will not be repeated here.
9 are please referred to Fig.1, in some embodiments, is comprised the following steps after step S316：
S332：In the corresponding scene of the second image, there are during light source, judge whether adjacent multiple target areas；
S334：There are adjacent multiple target areas are spliced into light source during adjacent multiple target areas；With
S336：There is no target area is determined as light source during adjacent multiple target areas.
Figure 20 is referred to, in some embodiments, image processing apparatus 300 is spelled including the second judgment module 332, second
334 and second determining module 336 of connection module.Second judgment module 332 is used in the corresponding scene of the second image there are during light source,
Judge whether adjacent multiple target areas.Second concatenation module 334 is used for there are during adjacent multiple target areas
Adjacent multiple target areas are spliced into light source.Second determining module 336 is used for there is no adjacent multiple target areas
When target area is determined as light source.
In other words, step S332 can be realized that step S334 can be by the second concatenation module by the second judgment module 332
334 realize, step S336 can be realized by the second determining module 336.
So, it may be determined that the light source position in the second image.
Determine the method for the light source position in the second image and the above-mentioned method class for determining the light source position in the first image
Seemingly, this will not be repeated here.
Figure 21 is referred to, in some embodiments, step S318 comprises the following steps：
S3182：Highlight regions and middle bright area are determined according to the Luminance Distribution of the center of light source radially；
S3184：The primary color channels pixel average of highlight regions is subtracted to the primary color channels pixel average of middle bright area
To determine light source colour；With
S3186：Colour temperature is determined according to light source colour.
Figure 22 is referred to, in some embodiments, the 3rd processing module 318 includes the 7th determination unit 3182, second
3184 and the 8th determination unit 3186 of processing unit.7th determination unit 3182 is used for according to the center of light source radially
Luminance Distribution determines highlight regions and middle bright area.Second processing unit 3184 is used to put down the primary color channels pixel of highlight regions
Average subtracts the primary color channels pixel average of middle bright area to determine light source colour.8th determination unit 3186 is used for according to light
Source color determines colour temperature.
In other words, step S3182 can be realized that step S3184 can be by second processing by the 7th determination unit 3182
Unit 3184 realizes that step S3186 can be realized by the 8th determination unit 3186.
In this way, it can determine light source colour by the highlight regions and middle bright area of the second image.
The method of light source colour is determined by the highlight regions and middle bright area of the second image and above by the first image
Highlight regions determine that the method for light source colour is similar with middle bright area, this will not be repeated here.
Figure 23 is referred to, in some embodiments, is comprised the following steps after step S316：
S338：When light source is not present in the corresponding scene of the second image, the primary color channels pixel for calculating the first image is averaged
Value；
S342：The primary color channels adjusted value of the first image is determined according to the primary color channels pixel average of the first image；With
S344：White balance processing is carried out to the first image according to primary color channels adjusted value.
Figure 24 is referred to, in some embodiments, image processing apparatus 300 includes computing module the 338, the 3rd and determines mould
342 and the 5th processing module 344 of block.Computing module 338 is used to, when light source is not present in the corresponding scene of the second image, calculate the
The primary color channels pixel average of one image.3rd determining module 342 is used to be averaged according to the primary color channels pixel of the first image
Value determines the primary color channels adjusted value of the first image.5th processing module 344 is used for according to primary color channels adjusted value to the first figure
As carrying out white balance processing.
In other words, step S338 can be realized by computing module 338, and step S342 can be by the 3rd determining module 342
It realizes, step S344 can be realized by the 5th processing module 344.
In this way, can white balance processing be carried out to the first image by the primary color channels pixel average of the first image.
Specifically, first, the arithmetic mean of instantaneous value of the pixel value of entire first image all pixels is calculated to obtain each base
Chrominance channel pixel average, such as the primary color channels pixel average (R of entire first imageavg, Gavg, Bavg) for (50,100,
150).Secondly, the primary color channels adjusted value of the first image can be determined according to the primary color channels pixel average of the first image, it can
To be interpreted as, adjustment a reference value K, such as (R are determined according to the primary color channels pixel average of entire first imageavg, Gavg,
Bavg) for (50,100,50), then K=(Ravg+Gavg+Bavg)/3=200/3, according to adjustment a reference value K and each primary color channels picture
Plain average value determines each primary color channels adjusted value of the first image, such as R passages adjusted value is K/Ravg=(200/3)/50=4/
3, G passage adjusted values are K/Gavg=(200/3)/100=2/3, channel B adjusted value are K/Bavg=(200/3)/50=4/3.Most
Afterwards, white balance processing is carried out to the first image according to primary color channels adjusted value, it can be understood as, by each picture in the first image
Each primary color channels of element are multiplied by corresponding primary color channels adjusted value with the pixel after adjust, merge each picture after adjusting
The primary color channels pixel value that element can obtain white balance treated a pixel in the first image, such as the first image is
(100,200,150) carry out the first image according to primary color channels adjusted value on the primary color channels picture of the pixel after white balance processing
Element value is (100*4/3,200*2/3,150*4/3)=(400/3,400/3,200).
The division of modules is only used for for example, in other embodiments, can incite somebody to action in above-mentioned image processing apparatus 300
Image processing apparatus 300 is divided into different modules as required, to complete all or part of above-mentioned image processing apparatus 300
Function.
The embodiment of the present application additionally provides a kind of computer readable storage medium.One or more can perform comprising computer
The non-volatile computer readable storage medium storing program for executing of instruction, when computer executable instructions are executed by one or more processors,
So that processor performs following steps：
S312：The first image of the acquisition of camera 100 is handled to judge that the corresponding scene of the first image whether there is light source；
S314：When light source is not present in the corresponding scene of the first image, 60 moving lens 20 of actuator and/or image are controlled
The acquisition of camera 100 and at least partly nonoverlapping second image of the first image are controlled after sensor 40；
S316：The second image is handled to judge that the corresponding scene of the second image whether there is light source；With
S318：In the corresponding scene of the second image, there are the colour temperature of light source is detected during light source and according to colour temperature to the first image
Carry out white balance processing.
Figure 25 is the internal structure schematic diagram of one embodiment Computer equipment.As shown in figure 25, the computer equipment
1000 include the processor 520 connected by system bus 510, memory 530 (being, for example, non-volatile memory medium), memory
Reservoir 540, display screen 550 and input unit 560.Wherein, the memory 530 of computer equipment 1000 be stored with operating system and
Computer-readable instruction.The computer-readable instruction can be performed by processor 520, to realize at the image of the application embodiment
Reason method.The processor 520 supports the operation of entire computer equipment 1000 for providing calculating and control ability.Computer
The built-in storage 530 of equipment 1000 provides environment for the operation of the computer-readable instruction in memory 520.Computer equipment
1000 display screen 550 can be liquid crystal display or electric ink display screen etc., and input unit 560 can be display screen
Button, trace ball or the Trackpad set on the touch layer or 1000 shell of computer equipment covered on 550, also may be used
To be external keyboard, Trackpad or mouse etc..The computer equipment 1000 can be mobile phone, tablet computer, laptop,
Personal digital assistant or Wearable (such as Intelligent bracelet, smartwatch, intelligent helmet, intelligent glasses) etc..This field skill
Art personnel are appreciated that the structure shown in Figure 25, only with the schematic diagram of the relevant part-structure of application scheme, not
The restriction for the computer equipment 1000 being applied thereon to application scheme is formed, specific computer equipment 1000 can wrap
It includes and either combines some components than more or fewer components shown in figure or arranged with different components.
Figure 26 is referred to, the computer equipment 1000 of the embodiment of the present application includes image processing circuit 800, image procossing
Circuit 800 can utilize hardware and or software component to realize, it may include define ISP (Image Signal Processing, figure
As signal processing) the various processing units of pipeline.Figure 26 is the schematic diagram of image processing circuit 800 in one embodiment.Such as figure
Shown in 26, for purposes of illustration only, only showing the various aspects with the relevant image processing techniques of the embodiment of the present application.
As shown in figure 26, including ISP processors 810, (ISP processors 810 can be processor 520 to image processing circuit 800
Or a part for processor 520) and control logic device 820.The image data that camera 100 captures is first by ISP processors 810
Processing, ISP processors 810, which analyze image data to capture, can be used for determining that the one or more of camera 100 control
The image statistics of parameter.Camera 100 may include one or more lens 30 and imaging sensor 40.Imaging sensor 40
May include colour filter array (such as Bayer filters), imaging sensor 40 can obtain the luminous intensity that each imaging pixel captures and
Wavelength information, and the one group of raw image data that can be handled by ISP processors 810 is provided.Sensor 840 (such as gyroscope) can base
The parameter (such as stabilization parameter) of the image procossing of acquisition is supplied to ISP processors 810 in 840 interface type of sensor.Sensing
840 interface of device can be that SMIA (Standard Mobile Imaging Architecture, Standard Mobile Imager framework) connects
The combination of mouth, other serial or parallel camera interfaces or above-mentioned interface.
In addition, raw image data can be also sent to sensor 840 by imaging sensor 40, sensor 840 can be based on passing
840 interface type of sensor is supplied to ISP processors 810 or sensor 840 to deposit raw image data raw image data
It stores up in video memory 850.
ISP processors 810 handle raw image data pixel by pixel in various formats.For example, each image pixel can
Bit depth with 8,10,12 or 14 bits, ISP processors 810 can carry out raw image data at one or more images
Reason operation, statistical information of the collection on image data.Wherein, image processing operations can be by identical or different bit depth precision
It carries out.
ISP processors 810 can also receive image data from video memory 850.For example, 840 interface of sensor will be original
Image data is sent to video memory 850, and the raw image data in video memory 850 is available to ISP processors 810
It is for processing.Video memory 850 can be in memory 530, a part for memory 530, storage device or electronic equipment
Independent private memory, and may include DMA (Direct Memory Access, direct direct memory access (DMA)) feature.
When receiving from 40 interface of imaging sensor or from 840 interface of sensor or from video memory 850
During raw image data, ISP processors 810 can carry out one or more image processing operations, such as time-domain filtering.Treated schemes
As data can be transmitted to video memory 850, to carry out other processing before shown.ISP processors 810 are from image
Memory 850 receives processing data, and the processing data are carried out in original domain and in RGB and YCbCr color spaces
Image real time transfer.Treated that image data may be output to display 870 that (display 870 may include to show for ISP processors 810
Display screen 550), so that user watches and/or by graphics engine or GPU (Graphics Processing Unit, graphics process
Device) it is further processed.In addition, the output of ISP processors 810 also can be transmitted to video memory 850, and display 870 can be from
Video memory 850 reads image data.In one embodiment, video memory 850 can be configured as realizing one or more
A frame buffer.In addition, the output of ISP processors 810 can be transmitted to encoder/decoder 860, so as to encoding/decoding image
Data.The image data of coding can be saved, and be decompressed before being shown in 870 equipment of display.Encoder/decoder
860 can be realized by CPU or GPU or coprocessor.
The definite statistics of ISP processors 810, which can be transmitted, gives control logic device Unit 820.For example, statistics can wrap
Include the imaging sensors such as automatic exposure, automatic white balance, automatic focusing, flicker detection, black level compensation, 30 shadow correction of lens
40 statistical informations.Control logic device 820 may include the processing element and/or microcontroller that perform one or more routines (such as firmware)
Device, one or more routines according to the statistics of reception, can determine the control parameter of camera 100 and ISP processors 810
Control parameter.For example, the control parameter of camera 100 may include sensor 840 control parameter (such as gain, spectrum assignment
The time of integration, stabilization parameter etc.), camera flash control parameter, 30 control parameter of lens (such as focus on or zoom focal length),
Or the combination of these parameters.The control parameter of ISP processors 810 may include for automatic white balance and color adjustment (for example,
RGB processing during) 30 shadow correction parameter of gain level and color correction matrix and lens.
It is the step of realizing image processing method with image processing techniques in Figure 26 below：
S312：The first image of the acquisition of camera 100 is handled to judge that the corresponding scene of the first image whether there is light source；
S314：When light source is not present in the corresponding scene of the first image, 60 moving lens 20 of actuator and/or image are controlled
The acquisition of camera 100 and at least partly nonoverlapping second image of the first image are controlled after sensor 40；
S316：The second image is handled to judge that the corresponding scene of the second image whether there is light source；With
S318：In the corresponding scene of the second image, there are the colour temperature of light source is detected during light source and according to colour temperature to the first image
Carry out white balance processing.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in that a non-volatile computer is readable to be deposited
In storage media, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium
Can be magnetic disc, CD, read-only memory (Read-Only Memory, ROM) etc..
Embodiment described above only expresses the several embodiments of the application, and description is more specific and detailed, but simultaneously
Cannot the limitation to the application the scope of the claims therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, on the premise of the application design is not departed from, various modifications and improvements can be made, these belong to the guarantor of the application
Protect scope.Therefore, the protection domain of the application patent should be determined by the appended claims.
Claims (22)
1. a kind of image processing method, for computer equipment, which is characterized in that the computer equipment includes camera, institute
Stating camera includes camera lens, imaging sensor and actuator, and described image processing method comprises the following steps：
The first image of the camera acquisition is handled to judge that the corresponding scene of described first image whether there is light source；
When the light source is not present in the corresponding scene of described first image, control the actuator move the camera lens and/or
The camera acquisition and at least partly nonoverlapping second image of described first image are controlled after described image sensor；With
Second image is handled to judge that the corresponding scene of second image whether there is the light source；With
In the corresponding scene of second image there are the colour temperature that the light source is detected during the light source and according to the colour temperature pair
Described first image carries out white balance processing.
2. image processing method according to claim 1, which is characterized in that the first of the processing camera acquisition
Image with judge the corresponding scene of described first image whether there is light source the step of comprise the following steps：
Described first image is divided into multiple regions；
Judge whether the region is the target area that includes the light source according to the histogram in each region；
There are the corresponding scene of described first image during at least one target area, is determined, there are the light sources；With
There is no the corresponding scene of described first image during the target area, is determined, there is no the light sources.
3. image processing method according to claim 2, which is characterized in that the first of the processing camera acquisition
Image with judge the corresponding scene of described first image whether there is light source the step of after comprise the following steps：
In the corresponding scene of described first image, there are during the light source, judge whether adjacent multiple target areas
Domain；
There are adjacent multiple target areas are spliced into the light source during adjacent multiple target areas；With
There is no the target area is determined as the light source during adjacent multiple target areas.
4. image processing method according to claim 1, which is characterized in that the first of the processing camera acquisition
Image with judge the corresponding scene of described first image whether there is light source the step of after comprise the following steps：
In the corresponding scene of described first image, there are during the light source, detect the colour temperature and according to the colour temperature to described
One image carries out white balance processing.
5. image processing method according to claim 4, which is characterized in that described in the corresponding scene of described first image
There are during the light source, detect the colour temperature and the step of described first image progress white balance processing is wrapped according to the colour temperature
Include following steps：
Highlight regions and middle bright area are determined according to the Luminance Distribution of the center of the light source radially；
By the primary color channels pixel average of the highlight regions subtract the primary color channels pixel average of the middle bright area with
Determine the light source colour of the scene；With
The colour temperature is determined according to the light source colour.
6. image processing method according to claim 1, which is characterized in that processing second image is to judge
The corresponding scene of image is stated with the presence or absence of the step of light source to comprise the following steps：
Second image is divided into multiple regions；
Judge whether the region is the target area that includes the light source according to the histogram in each region；
There are the corresponding scene of second image during at least one target area, is determined, there are the light sources；With
There is no the corresponding scene of second image during target area, is determined, there is no the light sources.
7. image processing method according to claim 6, which is characterized in that processing second image is to judge
Comprise the following steps after stating the step of corresponding scene of the second image whether there is the light source：
In the corresponding scene of second image, there are during the light source, judge whether adjacent multiple target areas
Domain；
There are adjacent multiple target areas are spliced into the light source during adjacent multiple target areas；With
There is no the target area is determined as the light source during adjacent multiple target areas.
8. image processing method according to claim 1, which is characterized in that described in the corresponding scene of second image
White balance processing is carried out there are the colour temperature that the light source is detected during the light source and according to the colour temperature to described first image
Step comprises the following steps：
Highlight regions and middle bright area are determined according to the Luminance Distribution of the center of the light source radially；
By the primary color channels pixel average of the highlight regions subtract the primary color channels pixel average of the middle bright area with
Determine the light source colour of the scene；With
The colour temperature is determined according to the light source colour.
9. image processing method according to claim 1, which is characterized in that processing second image is to judge
Comprise the following steps after stating the step of corresponding scene of the second image whether there is the light source：
When the light source is not present in the corresponding scene of second image, the primary color channels pixel for calculating described first image is put down
Average；
The primary color channels adjusted value of described first image is determined according to the primary color channels pixel average of described first image；With
White balance processing is carried out to described first image according to the primary color channels adjusted value.
10. image processing method according to claim 1, which is characterized in that the actuator include microcomputer electric notor or
Mechanical motor.
11. a kind of image processing apparatus, for computer equipment, which is characterized in that the computer equipment includes camera, institute
Stating camera includes camera lens, imaging sensor and actuator, and described image processing unit includes：
First processing module, the first processing module are used to handling the first image of camera acquisition to judge described the
The corresponding scene of one image whether there is light source；
Control module, the control module are used for when the light source is not present in the corresponding scene of described first image described in control
Actuator controls the camera acquisition and described first image at least portion after moving the camera lens and/or described image sensor
Divide nonoverlapping second image；
Second processing module, the Second processing module are used to handle second image to judge that second image is corresponding
Scene whether there is the light source；With
3rd processing module, the 3rd processing module is in the corresponding scene of second image, there are examined during the light source
It surveys the colour temperature of the light source and white balance processing is carried out to described first image according to the colour temperature.
12. image processing apparatus according to claim 11, which is characterized in that the first processing module includes：
First division unit, first division unit are used to described first image being divided into multiple regions；
First judging unit, first judging unit are used to whether judge the region according to the histogram in each region
It is the target area for including the light source；
First determination unit, first determination unit are used for there are during at least one target area, determine described the
There are the light sources for the corresponding scene of one image；With
Second determination unit, second determination unit are used for there is no during the target area, determine described first image
The light source is not present in corresponding scene.
13. image processing apparatus according to claim 12, which is characterized in that described image processing unit includes：
First judgment module, first judgment module are used in the corresponding scene of described first image there are during the light source,
Judge whether adjacent multiple target areas；
First concatenation module, first concatenation module are used for there are will be adjacent more during adjacent multiple target areas
A target area is spliced into the light source；With
First determining module, first determining module be used for there is no during adjacent multiple target areas by the mesh
Mark region is determined as the light source.
14. image processing apparatus according to claim 11, which is characterized in that described image processing unit includes：
Fourth processing module, the fourth processing module are used in the corresponding scene of described first image there are during the light source,
It detects the colour temperature of the light source and white balance processing is carried out to described first image according to the colour temperature.
15. image processing apparatus according to claim 14, which is characterized in that the fourth processing module includes：
3rd determination unit, Luminance Distribution of the 3rd determination unit for according to the center of the light source radially are true
Determine highlight regions and middle bright area；
First processing units, the first processing units are used to the primary color channels pixel average of the highlight regions subtracting institute
The primary color channels pixel average of middle bright area is stated to determine light source colour；With
4th determination unit, the 4th determination unit are used to determine the colour temperature according to the light source colour.
16. image processing apparatus according to claim 11, which is characterized in that the Second processing module includes：
Second division unit, second division unit are used to second image being divided into multiple regions；
Second judgment unit, the second judgment unit are used to whether judge the region according to the histogram in each region
It is the target area for including the light source；
5th determination unit, the 5th determination unit are used for there are during at least one target area, determine described the
There are the light sources for the corresponding scene of two images；With
6th determination unit, the 6th determination unit are used for there is no during the target area, determine second image
The light source is not present in corresponding scene.
17. image processing apparatus according to claim 16, which is characterized in that described image processing unit includes：
Second judgment module, second judgment module are used in the corresponding scene of second image there are during the light source,
Judge whether adjacent multiple target areas；
Second concatenation module, second concatenation module are used for there are will be adjacent more during adjacent multiple target areas
A target area is spliced into the light source；With
Second determining module, second determining module be used for there is no during adjacent multiple target areas by the mesh
Mark region is determined as the light source.
18. image processing apparatus according to claim 11, which is characterized in that the 3rd processing module includes：
7th determination unit, Luminance Distribution of the 7th determination unit for according to the center of the light source radially are true
Determine highlight regions and middle bright area；
Second processing unit, the second processing unit are used to the primary color channels pixel average of the highlight regions subtracting institute
The primary color channels pixel average of middle bright area is stated to determine light source colour；With
8th determination unit, the 8th determination unit are used to determine the colour temperature according to the light source colour.
19. image processing apparatus according to claim 11, which is characterized in that described image processing unit includes：
Computing module, the computing module are used to, when the light source is not present in the corresponding scene of second image, calculate institute
State the primary color channels pixel average of the first image；
3rd determining module, the 3rd determining module are used to be determined according to the primary color channels pixel average of described first image
The primary color channels adjusted value of described first image；With
5th processing module, the 5th processing module are used to carry out described first image according to the primary color channels adjusted value
White balance processing.
20. image processing apparatus according to claim 11, which is characterized in that the actuator include microcomputer electric notor or
Mechanical motor.
21. one or more includes the non-volatile computer readable storage medium storing program for executing of computer executable instructions, when the calculating
When machine executable instruction is executed by one or more processors so that the processor perform claim requirement any one of 1 to 10
The image processing method.
22. a kind of computer equipment including memory and processor, stores computer-readable instruction, institute in the memory
Instruction is stated when being performed by the processor so that the processor perform claim is required at the image any one of 1 to 10
Reason method.
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